.Net AI Engineer

8 hours ago

Nyc, New York, United States Diverse Lynx LLC Full-time $50 - $54/hour
Title: .Net AI Engineer
Location: NYC, NY
Duration: 6+ months
Payrange: $50-$54/hr C2C

Job description:

• We are seeking a highly skilled .NET Full Stack Developer with strong experience in Angular and Microsoft technologies to design, develop, and maintain scalable enterprise applications. The ideal candidate should have expertise in developing modern web applications using .NET Core, C#, Angular, REST APIs, SQL Server, and cloud technologies.

Key Responsibilities
• Design, develop, and maintain web applications using Angular and .NET Core/.NET Framework.
• Build and consume RESTful APIs and microservices.
• Develop responsive, user-friendly front-end applications using Angular, HTML5, CSS3, JavaScript, and TypeScript.
• Implement backend business logic using C# and .NET technologies.
• Design and Eligible to workimize SQL Server databases, queries, stored procedures, and performance tuning.
• Collaborate with business analysts, architects, QA teams, and stakeholders to deliver high-quality solutions.
• Participate in code reviews and ensure adherence to coding standards and best practices.
• Troubleshoot production issues and provide timely resolutions.
• Work in Agile/Scrum development environments.
• Support CI/CD deployments and application releases.

Required Skills
• 7+ years of experience in software development.
• Strong experience with C#, ASP.NET MVC, ASP.NET Core, .NET Framework/.NET Core.
• Expertise in Angular 10+, TypeScript, JavaScript, HTML5, CSS3.
• Experience in developing and consuming REST APIs/Web Services.
• Strong knowledge of SQL Server, database design, stored procedures, and query Eligible to workimization.
• Experience with Entity Framework and LINQ.
• Hands-on experience with Git, Azure DevOps, Jenkins, or other CI/CD tools.
• Knowledge of Microservices Architecture.
• Experience working in Agile development methodologies.

Preferred Skills
• Experience with Azure Cloud Services.
• Knowledge of Docker and Kubernetes.
• Experience with OAuth, JWT, SSO, and application security practices.
• Exposure to message queues such as Kafka, RabbitMQ, or MSMQ.
• Experience in Financial Services / Capital Markets domain is preferred.


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